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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 18439
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    Explanations

    specific mentions of organizations, such as institutions, companies, and military branches

    oai_token-act-pair · gpt-3.5-turbo

    references to military and royal institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odynam
    -0.80
    venient
    -0.73
    urious
    -0.73
    atically
    -0.71
    natureconservancy
    -0.71
    antically
    -0.71
     flares
    -0.69
    hetically
    -0.68
    itiveness
    -0.66
    urat
    -0.66
    POSITIVE LOGITS
    VPN
    0.74
     Honour
    0.71
     sshd
    0.70
    ãĥ¼ãĥ³
    0.69
     throne
    0.67
     Seym
    0.66
    clave
    0.66
     Taxi
    0.65
     Cortex
    0.64
     Execution
    0.64
    Activations Density 0.214%

    No Known Activations